posted by user: drfxia || 2869 views || tracked by 4 users: [display]

DAA 2022 : IEEE Intelligent Systems Special Issue on Deep Anomaly Analytics

FacebookTwitterLinkedInGoogle

Link: https://www.computer.org/digital-library/magazines/ex/cfp-deep-anomaly-analytics
 
When N/A
Where N/A
Submission Deadline Aug 1, 2022
Categories    artificial intelligence   machine learning   data mining   computational intelligence
 

Call For Papers

CALL FOR PAPERS

IEEE Intelligent Systems Special Issue on Deep Anomaly Analytics
https://www.computer.org/digital-library/magazines/ex/cfp-deep-anomaly-analytics

Editor in Chief: Longbing Cao

Submissions due: 1 August 2022
Publication: March/April 2023

Anomalies (a.k.a. outliers) commonly exist in various real-world scenarios, such as fraud in finance and insurance, intrusion in cybersecurity, fault in safety-critical systems, bushfire early warning, disease outbreak control, fake news, images and videos in social media, and medical diagnosis. Some anomalies could cause disasters that lead to immense economic loss or even deaths unless discovered and dealt with on time. These applications make anomaly analytics increasingly relevant in the modern world. Due to its foremost importance, the study of anomaly detection has a long history and has created a wealth of anomaly detection methods. With the advent of big data, new challenges and questions are introduced, which inspires novel ways of developing algorithms, methods, and techniques to foster the analysis, modeling, interpretation, and prediction as well as detection of anomalies.

Recent years have witnessed rapid growth in the number of academics and practitioners interested in artificial intelligence (AI) for anomaly detection. In particular, various deep learning models have been developed for anomaly detection. In many cases, however, deep models are hard to tune and hard to interpret. In addition, little attention has been paid to other aspects/phases (rather than anomaly detection) of the whole lifecycle of anomaly analytics. On the other hand, the increasing complexity of real-world cyber-physical systems is giving rise to unprecedented challenges facing anomaly analytics.

This special issue aims to promote innovative AI research and development that address key challenges for detecting, describing, modelling, predicting, understanding, suppressing, and eliminating anomalies in various application domains. Topics of interest include, but are not limited to:
- Foundations and principles of anomaly analytics
- Novel AI models and algorithms for anomaly analytics
- Graph learning for anomaly analytics
- Deep learning techniques for anomaly detection
- Anomaly modelling, analysis, and (deep) understanding
- Descriptive, predictive, and prescriptive analytics of anomalies
- Augmented intelligence for anomaly detection
- Human-in-the-loop machine learning for anomaly detection
- Trustworthy anomaly analytics
- Fairness, transparency, and explainability
- Privacy, safety, and security
- Tools, platforms, and systems for deep anomaly analytics
- Anomaly analytics in various domains

For author information and guidelines on submission criteria, please visit the IS Author Information page (https://www.computer.org/csdl/magazine/ex). Please submit papers through the ScholarOne system (https://mc.manuscriptcentral.com/cs-ieee), and be sure to select the special-issue name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal.

Contact the guest editors at is2-23@computer.org.

Guest Editors
- Feng Xia, Federation University Australia (Australia)
- Leman Akoglu, Carnegie Mellon University (USA)
- Charu Aggarwal, IBM T. J. Watson Research Center (USA)
- Huan Liu, Arizona State University (USA)

Related Resources

IEEE ACIRS 2024   IEEE--2024 the 9th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS 2024)
IEEE Xplore-Ei/Scopus-CSPIT 2023   2023 Asia Conference on Communications, Signal Processing and Information Technology (CSPIT 2023) -EI Compendex
ACIRS 2024   IEEE--2024 the 9th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS 2024)
IEEE Xplore-Ei/Scopus-DMCSE 2023   2023 International Conference on Data Mining, Computing and Software Engineering (DMCSE 2023) -EI Compendex
IEEE ICIT 2024   25th IEEE International Conference on Industrial Technology
JCICE 2024   2024 International Joint Conference on Information and Communication Engineering(JCICE 2024)
SEAI 2024   2024 4th IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI 2024)
ICDM 2024   24th Industrial Conference on Data Mining
ICMLT--Ei 2024   2024 9th International Conference on Machine Learning Technologies (ICMLT 2024)
Springer ISPR'2024   The 4'th International Conference on Intelligent Systems and Pattern Recognition